Abstract:
Objective: Central line-associated bloodstream infection (CLABSI) is one of the most prevalent pediatric healthcare-associated infections and is used to benchmark hospital performance. Pediatric patients have increased in acuity and complexity over time. Existing approaches to risk adjustment do not control for individual patient characteristics, which are strong predictors of CLABSI risk and vary over time. Our objective was to develop a risk adjustment model for CLABSI in hospitalized children and compare observed to expected rates over time.
Design and setting: We conducted a prospective cohort study using electronic health record data at a quaternary Children’s Hospital.
Patients: We included hospitalized children with central catheters.
Methods: Risk factors identified from published literature were considered for inclusion in multivariable modeling based on association with CLABSI risk in bivariable analysis and expert input. We calculated observed and expected (risk model-adjusted) annual CLABSI rates.
Results: Among 16,411 patients with 520,209 line days, 633 patients experienced 796 CLABSIs. The final model included age, behavioral health condition, non-English speaking, oncology service, port catheter type, catheter dwell time, lymphatic condition, total parenteral nutrition, and number of organ systems requiring ICU level care. For every organ system receiving ICU level care the odds ratio for CLABSI was 1.24 (95% CI 1.12-1.37). Although not statistically different, observed rates were lower than expected rates for later years.
Conclusions: Failure to adjust for patient factors, particularly acuity and complexity of disease, may miss clinically significant differences in CLABSI rates, and may lead to inaccurate interpretation of the impact of quality improvement efforts.
Reference:Srinivasan L, Oliver A, Huang YV, Shu D, Donnelly KM, Harrison C, Roberts AL, Keren R. Importance of risk adjusting central line-associated bloodstream infection rates in children. Infect Control Hosp Epidemiol. 2024 Oct 7:1-6. doi: 10.1017/ice.2024.111. Epub ahead of print. PMID: 39370842.